Harnessing laboratory data for poliovirus eradication: contributions of the Africa regional polio laboratory data management team, 2022 - 2024 [0.03%]
利用实验室数据助力消灭脊灰病毒：非洲区域脊灰实验室数据管理工作队的贡献（2022-2024年）
Brook Tesfaye,Reggis Katsande,Doungmo Wakem Yannick Arthur et al.
Brook Tesfaye et al.
Background and objectives: Polio laboratory data is crucial in providing timely and accurate information on poliovirus outbreaks and therefore an important component of the overall poliovirus eradication strategies. This ...
Rianú: Multi-tissue tracking software for increased throughput of engineered cardiac tissue screening [0.03%]
高效筛选工程心脏组织的多组织追踪软件Rianú
Jack F Murphy,Kevin D Costa,Irene C Turnbull
Jack F Murphy
Background: The field of tissue engineering has provided valuable three-dimensional species-specific models of the human myocardium in the form of human Engineered Cardiac Tissues (hECTs) and similar constructs. However, ...
Evaluation of available risk scores to predict multiple cardiovascular complications for patients with type 2 diabetes mellitus using electronic health records [0.03%]
基于电子健康档案评估可用风险评分预测2型糖尿病患者多种心血管并发症的风险能力
Joyce C Ho,Lisa R Staimez,K M Venkat Narayan et al.
Joyce C Ho et al.
Aims: Various cardiovascular risk prediction models have been developed for patients with type 2 diabetes mellitus. Yet few models have been validated externally. We perform a comprehensive validation of existing risk mod...
Development of a mobile tele-education system to assist remote otolaryngology learning during COVID-19 pandemic [0.03%]
开发用于远程耳鼻喉科学习的移动远程教育系统以应对COVID-19疫情
Te-Yung Fang,Su-Yi Hsu,Jun-Ming Su et al.
Te-Yung Fang et al.
Background: Developing clinical thinking competence (CTC) is crucial for physicians, but effective methods for cultivation and evaluation are a significant challenge. Classroom teaching and paper-and-pencil tests are insu...
Arfan Ahmed,Sarah Aziz,Mahmood Alzubaidi et al.
Arfan Ahmed et al.
Background: The rates of mental health disorders such as anxiety and depression are at an all-time high especially since the onset of COVID-19, and the need for readily available digital health care solutions has never be...
Predicting the evolution of COVID-19 mortality risk: A Recurrent Neural Network approach [0.03%]
预测COVID-19死亡率风险的变化：循环神经网络的方法
Marta Villegas,Aitor Gonzalez-Agirre,Asier Gutiérrez-Fandiño et al.
Marta Villegas et al.
Background: In December 2020, the COVID-19 disease was confirmed in 1,665,775 patients and caused 45,784 deaths in Spain. At that time, health decision support systems were identified as crucial against the pandemic. ...
Fitness dependent optimizer with neural networks for COVID-19 patients [0.03%]
用于COVID-19患者的基于适应度依赖优化器和神经网络的方法
Maryam T Abdulkhaleq,Tarik A Rashid,Bryar A Hassan et al.
Maryam T Abdulkhaleq et al.
The Coronavirus, known as COVID-19, which appeared in 2019 in China, has significantly affected the global health and become a huge burden on health institutions all over the world. These effects are continuing today. One strategy for limit...
Development and validation of digital health literacy competencies for citizens (DHLC), an instrument for measuring digital health literacy in the community [0.03%]
公民数字健康素养能力(DHLC)的开发和验证，一种衡量社区中数字健康素养的工具
Enny Rachmani,Haikal Haikal,Eti Rimawati
Enny Rachmani
COVID-19 is a new disease in human life and has become pandemic. Pandemic Coronavirus Disease (COVID-19) has been speeding up digital transformation in every sector. Implementation of digital technology in health should be supported by the ...
Machine learning models to detect anxiety and depression through social media: A scoping review [0.03%]
基于社交媒体检测焦虑和抑郁的机器学习模型：系统综述
Arfan Ahmed,Sarah Aziz,Carla T Toro et al.
Arfan Ahmed et al.
Despite improvement in detection rates, the prevalence of mental health disorders such as anxiety and depression are on the rise especially since the outbreak of the COVID-19 pandemic. Symptoms of mental health disorders have been noted and...
Prolonged viral shedding prediction on non-hospitalized, uncomplicated SARS-CoV-2 patients using their transcriptome data [0.03%]
使用转录组数据预测非住院的简单SARS-CoV-2患者的病毒长时间脱落症状
Pratheeba Jeyananthan
Pratheeba Jeyananthan
Severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) is identified as a highly transmissible coronavirus which threatens the world with this deadly pandemic. WHO reported that it spreads through contact, droplet, airborne, form...